[visionscaper]

I decided a few weeks ago to transition to PyTorch (was using Keras before) and I must say that I really love it! How PyTorch is structured gives me the right balance between ease of use and the ability to make customisations. Further, using DistributedDataParallel, dividing the work over multiple processes, where each process uses one GPU, is very fast and GPU memory efficient.

Before my switch I tried out Keras for Tensorflow, and even got a lot of support from Google in my endeavours to resolve the issues I encountered (kudos to Google for that!). In the end I felt it was still not mature enough. Further, although I do believe TF and Keras are moving in the right direction, I still felt that in some cases the way the software was set up just didn't sit well with me.

Maybe it is worth to try again in a year or so, or by then I will tryout Swift for Tensorflow, which I think has a great future ahead.